Addressing the rapidly growing penetration of renewable energy sources and the increasing
variations in loads has been a significant challenge in the planning and operation of modern …

Integrated energy system is important for the high-efficient utilization of multitype energy
systems. In this paper, the stochastic optimal operation is investigated for the micro …

In this paper, the energy management of a microgrid including wind turbine, PhotoVoltaic
(PV) modules, Combined Heat and Power (CHP) systems, fuel cells, power only units, heat …

Current and future challenges of optimization in the process industry are discussed. The gap
between academic research and industrial workflow is analyzed. Moreover, issues arising …

Optimization under uncertainty is a challenging topic of practical importance in the Process
Systems Engineering. Since the solution of an optimization problem generally exhibits high …

The integrated operation of multi-carrier energy systems has attracted special attention due
to its increased efficiency, improved flexibility and reduced pollution. It should be noted that …

The algorithmic framework ARGONAUT is presented for the global optimization of general
constrained grey-box problems. ARGONAUT incorporates variable selection, bounds …

Scenario-based stochastic programming is a widely used method for optimization under
uncertainty. The solution quality of this approach is dependent on the approximation of the …

This paper introduces a novel methodology for the global optimization of general
constrained grey-box problems. A grey-box problem may contain a combination of black-box …

In the scenario-based stochastic programming problem, the solving complexity and
computational burden increases as the number of scenarios increase, which involves …